Medical documents written for doctors.
Not for the 1 in 2 patients who don't understand them.
MediClear uses AI to change that — in seconds.
Healthcare's most expensive bug isn't clinical. It's linguistic.
of patients read medication leaflets
leave hospital not understanding discharge instructions
lost annually to preventable readmissions
Point. Scan. Understand.
Any medical document, translated into language a real person can act on.
Dx: Acute exacerbation of COPD, hx pneumonia, HTN.
Continue Amoxicillin 500mg TID x7d. Titrate lisinopril per BP. F/U w/ PCP in 7-10d. PRN SABA q4-6h. Return to ED if SpO2 < 92% or worsening dyspnea.
Signed: Dr. R. Cohen, MD. Attending Pulmonology.
🫁 You have a lung infection that is getting better.
💊 Take one antibiotic pill 3 times a day for 7 days. Don't skip.
🩺 See your family doctor in 1 week.
🚨 Go back to the hospital if it becomes hard to breathe.
"Any document. Any language. 10 seconds."
Built for the patients healthcare forgets to write for.
People with autism
Predictable structure, literal language, visual cues. No hidden meaning to decode.
Elderly patients
Large type, plain words, one instruction at a time. Designed to be read alone.
Non-native speakers
Instant translation into the language they think in — not the one on the form.
Distributed by the system that already pays for the problem.
Shipped, validated, and on the map.
- MVP live
- Product & UX validated with Krembo Wings — not yet clinical evidence
- Academic advisor: Prof. Shira Chaimovitz, Ono Academic College
- Next: clinical pilot on a hospital discharge ward
Operators who have lived this problem — not observed it.
Asi Meir
20 years in special education + accessibility. Founder of Mantis Zero studio, shipping inclusive apps.
Noam Arbel
BSc, Technion — graduated with honors. Owns the AI simplification pipeline.
Prof. Shira Chaimovitz
Dean, Institute for Cognitive Accessibility, Ono Academic College.